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A Business Rules Management System for Fixed Assets

Department of Accounting, Statistics and Business Information Systems, Faculty of Economics and Business Administration, Alexandru Ioan Cuza University of Iasi, Iasi 700505, Romania
Received: 7 March 2019 / Revised: 7 May 2019 / Accepted: 16 May 2019 / Published: 17 May 2019
(This article belongs to the Special Issue Data Analysis for Financial Markets)
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The goal of this paper is to discuss the necessity of separating decision rules from domain model implementation. (1) Background: can rules help to discover hidden connections between data? We propose a separated implementation of decision rules on data about fixed assets for decision support. This will enhance search results. (2) Methods and technical workflow: We used DROOLS (Decision Rules Object Oriented System) to implement decision rules on the subject of accounting decisions on fixed assets; (3) Results: Making the model involves: the existence of a domain ontology and an ontology for the developed application; the possibility of executing specified inferences; the possibility of extracting information from a database; the possibility of simulations, predictions; the possibility of addressing fuzzy questions; and (4) Conclusions: The rules, the plans, and the business models must be implemented to allow specification of control over concepts. The editing of meta models must be directed to the user to ensure adaptation and not implemented at the level of control of the data control. View Full-Text
Keywords: decision rules; decision support system; DROOLS decision rules; decision support system; DROOLS

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Necula, S.-C. A Business Rules Management System for Fixed Assets. Data 2019, 4, 70.

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